{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "dca31a06",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import pandas as pd\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73166f65",
   "metadata": {},
   "source": [
    "## quadratic relation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e03742e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.0573272 , -0.06303353,  0.62737178,  1.01410728, -0.03820683,\n",
       "        0.24492314,  2.45969379,  0.79434863,  2.92426113,  1.65389367,\n",
       "        4.35116477,  3.42684393,  4.13786982,  5.41036467,  6.35456605,\n",
       "        6.31074923,  6.43849694,  6.92183719,  6.14407727,  6.61083818,\n",
       "        6.38501005,  7.70167337,  8.71041265,  7.50760236,  6.39018225,\n",
       "        9.69187937,  8.31078033, 10.55496311,  8.82925196, 10.67636812])"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = np.linspace(0, 10, 30) + np.random.normal(size=30)\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a79352b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "y = x**2 + np.random.normal(size = len(x), scale=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2df49825",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>marker</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.057327</td>\n",
       "      <td>1.436971</td>\n",
       "      <td>raw</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.063034</td>\n",
       "      <td>-2.050391</td>\n",
       "      <td>raw</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.627372</td>\n",
       "      <td>2.025722</td>\n",
       "      <td>raw</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.014107</td>\n",
       "      <td>-4.085680</td>\n",
       "      <td>raw</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.038207</td>\n",
       "      <td>6.019727</td>\n",
       "      <td>raw</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          x         y marker\n",
       "0 -0.057327  1.436971    raw\n",
       "1 -0.063034 -2.050391    raw\n",
       "2  0.627372  2.025722    raw\n",
       "3  1.014107 -4.085680    raw\n",
       "4 -0.038207  6.019727    raw"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfr = pd.concat([\n",
    "    pd.Series(x),\n",
    "    pd.Series(y),\n",
    "    pd.Series([\"raw\"]*len(x)),\n",
    "], axis=1)\n",
    "\n",
    "dfr.columns=[\"x\",\"y\", \"marker\"]\n",
    "\n",
    "dfr.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "42c7e3a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>marker</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.003286</td>\n",
       "      <td>1.436971</td>\n",
       "      <td>squared</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.003973</td>\n",
       "      <td>-2.050391</td>\n",
       "      <td>squared</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.393595</td>\n",
       "      <td>2.025722</td>\n",
       "      <td>squared</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.028414</td>\n",
       "      <td>-4.085680</td>\n",
       "      <td>squared</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.001460</td>\n",
       "      <td>6.019727</td>\n",
       "      <td>squared</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          x         y   marker\n",
       "0  0.003286  1.436971  squared\n",
       "1  0.003973 -2.050391  squared\n",
       "2  0.393595  2.025722  squared\n",
       "3  1.028414 -4.085680  squared\n",
       "4  0.001460  6.019727  squared"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs = pd.concat([\n",
    "    pd.Series(x*x),\n",
    "    pd.Series(y),\n",
    "    pd.Series([\"squared\"]*len(x)),\n",
    "], axis=1)\n",
    "\n",
    "dfs.columns=[\"x\",\"y\", \"marker\"]\n",
    "\n",
    "dfs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9ec5eb71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>marker</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.057327</td>\n",
       "      <td>1.436971</td>\n",
       "      <td>raw</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.063034</td>\n",
       "      <td>-2.050391</td>\n",
       "      <td>raw</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.627372</td>\n",
       "      <td>2.025722</td>\n",
       "      <td>raw</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.014107</td>\n",
       "      <td>-4.085680</td>\n",
       "      <td>raw</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.038207</td>\n",
       "      <td>6.019727</td>\n",
       "      <td>raw</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          x         y marker\n",
       "0 -0.057327  1.436971    raw\n",
       "1 -0.063034 -2.050391    raw\n",
       "2  0.627372  2.025722    raw\n",
       "3  1.014107 -4.085680    raw\n",
       "4 -0.038207  6.019727    raw"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.concat([dfr, dfs], axis=0)\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "32e319c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 950.4x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"whitegrid\")\n",
    "with sns.plotting_context(\"talk\"):\n",
    "\n",
    "    g = sns.lmplot(\n",
    "        data=df, x=\"x\", y=\"y\",\n",
    "        col=\"marker\", height=6, aspect=1.1, \n",
    "        facet_kws=dict(sharex=False, sharey=False,),    \n",
    "    )\n",
    "\n",
    "    g.axes[0,0].set_ylabel('y', fontsize=14)\n",
    "    g.axes[0,0].set_xlabel('x', fontsize=14)\n",
    "    g.axes[0,1].set_xlabel('x^2', fontsize=14)\n",
    "    g.axes[0,0].set_title('Original variable', fontsize=20)\n",
    "    g.axes[0,1].set_title('Squared variable', fontsize=20)\n",
    "\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f95ab224",
   "metadata": {},
   "source": [
    "## xor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "216f7555",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x1</th>\n",
       "      <th>x2</th>\n",
       "      <th>x3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3.179007</td>\n",
       "      <td>-3.107663</td>\n",
       "      <td>-9.879284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-2.108476</td>\n",
       "      <td>-0.574685</td>\n",
       "      <td>1.211709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.450693</td>\n",
       "      <td>-0.184024</td>\n",
       "      <td>-0.082938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.785754</td>\n",
       "      <td>3.267533</td>\n",
       "      <td>9.102543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-3.767725</td>\n",
       "      <td>2.804592</td>\n",
       "      <td>-10.566929</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         x1        x2         x3\n",
       "0  3.179007 -3.107663  -9.879284\n",
       "1 -2.108476 -0.574685   1.211709\n",
       "2  0.450693 -0.184024  -0.082938\n",
       "3  2.785754  3.267533   9.102543\n",
       "4 -3.767725  2.804592 -10.566929"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = np.random.uniform(low=-4, high=4, size=(400, 2))\n",
    "y = pd.Series(np.bitwise_xor(np.sign(x[:, 0]).astype(int), np.sign(x[:, 1]).astype(int)))\n",
    "y = y.map({0:1, -2:0})\n",
    "x = pd.DataFrame(x, columns=[\"x1\", \"x2\"])\n",
    "x[\"x3\"] = x[\"x1\"]*x[\"x2\"]\n",
    "\n",
    "x.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b689f416",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      0\n",
       "1      1\n",
       "2      0\n",
       "3      1\n",
       "4      0\n",
       "      ..\n",
       "395    1\n",
       "396    0\n",
       "397    1\n",
       "398    1\n",
       "399    0\n",
       "Length: 400, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "30218485",
   "metadata": {},
   "outputs": [],
   "source": [
    "cmap = (mpl.colors.ListedColormap(['blue', 'cyan', 'yellow', 'red'])\n",
    "        .with_extremes(over='red', under='blue'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "143285f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(ncols=3, figsize=(20, 6))\n",
    "fig.tight_layout()\n",
    "\n",
    "plt.rcParams['xtick.labelsize'] = 14\n",
    "plt.rcParams['ytick.labelsize'] = 14\n",
    "\n",
    "axes[0].scatter(x[\"x1\"], x[\"x2\"], c=y,  cmap=cmap,)\n",
    "axes[1].scatter(x[\"x1\"], y, c=y,  cmap=cmap,)\n",
    "axes[2].scatter(x[\"x3\"], y, c=y,  cmap=cmap,)\n",
    "\n",
    "axes[0].set_xlabel('X1', fontsize=16)\n",
    "axes[0].set_ylabel('X2', fontsize=16)\n",
    "axes[0].set_title('XOR', fontsize=20)\n",
    "\n",
    "axes[1].set_xlabel('X1', fontsize=16)\n",
    "axes[1].set_ylabel('Y', fontsize=16)\n",
    "axes[1].set_title('X1 vs Y', fontsize=20)\n",
    "\n",
    "axes[2].set_xlabel('X1 * X2', fontsize=16)\n",
    "axes[2].set_ylabel('Y', fontsize=16)\n",
    "axes[2].set_title('X1 * X2 vs Y', fontsize=20)\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8cd8b662",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "fsml",
   "language": "python",
   "name": "fsml"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
